Dr. Nashwa Abdelbaki

Program Director for Ph.D. and Program Director for Big Data Professional Diploma

Faculty Office Ext.

1751

Faculty Building

UB 1

Office Number

203

Biography

Dr. Nashwa Abdelbaki joined NU in September 2008. Her research interest mainly focuses on Multimedia networking, cloud computing, and cybersecurity. Dr. Abdelbaki published over 60 scientific refereed conference and journal papers and book chapters. She has also served as program committee member in several international scientific journals and conferences.

She led the NU MSc Information Security Program since its inauguration in 2008 to 2021. During the period 2018 to 2020, she was, additionally, the Director of the ITCS Academic Bachelor and Master Programs.

Supported by her German DAAD Scholarship, Dr. Abdelbaki received her Doctor of Engineering (Dr.-Ing.) degree with grade 1.0, in the field of multimedia networking from Faculty of Engineering, Ulm University, Germany. She received her M.Sc. degree from Faculty of Engineering, Ain Shams University in Cairo, and B.Sc. from Faculty of Engineering, Cairo University, Egypt.

Nashwa Abdelbaki is an IT expert with over 35 years of experience at the national as well as regional and international levels. She is an early Internet pioneer, bringing Internet connectivity to Egypt in the late 80s and early 1990s. She helped build Egypt's national networks both locally and regionally and took technical lead of the Egyptian Universities Network (EUN) and the central registry of the Egyptian Top-Level Domain .EG. She is an active member of organizing several international IT conferences and networking workshops. She was one of the four members submitted the first proposal to establish AfriNIC in 1997. She served as an ICANN ccNSO Council member (2007-2010) and was a member of the African Top-Level Domain (AFTLD) Executive Committee.

Recent Publications

Hybrid Information Filtering Engine for Personalized Job Recommender System

The recommendation system, also known as recommender system or recommendation engine/platform, is considered as an interdisciplinary field. It uses the techniques of more than one field. Recommender system inherits approaches from all of machine learning, data mining, information retrieval, information filtering and human-computer interaction. In this paper, we propose our value-added architecture

Artificial Intelligence

Innovative human-robot interaction for a robot tutor in biology game

Robots nowadays, are introduced to many domains and fields. One of these fields is education. We introduce integrating robots and games in education. We have designed a humanoid robot tutoring biology. Our robot is interacting with a student to play a game to enhance and examine the student's knowledge. In our game, we developed cognitive capabilities for the robot. We analyzed the features that

Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Cloud computing security: Challenges & future trends

Cloud computing is one of the most trendy terminologies. Cloud providers aim to satisfy clients' requirements for computing resources such as services, applications, networks, storage and servers. They offer the possibility of leasing these resources rather than buying them. Many popular companies, such as Amazon, Google and Microsoft, began to enhance their services and apply the technology of

Software and Communications

Vision capabilities for a humanoid robot tutoring biology

Robots are expected to be the future solution in various fields. One of these fields is education. Teachers, students and robots have to work together to make this assumption true. For this, robots must have the adequate capabilities that can help them succeed. Vision of the robot is an essential tool that the robot uses to perform several tasks. Hence, it has to be taken into consideration, the

Artificial Intelligence

A postmortem forensic analysis for a JavaScript based attack

[No abstract available]

Experimental digital forensics of subscriber identification module (SIM) Card

[No abstract available]

Software and Communications

New governance framework to secure cloud computing

Cloud computing is enabling proper, on-demand network access to a shared pool of computing resources that is elastic in reserve and release with minimal interaction from cloud service provider. As cloud gains maturity, cloud service providers are becoming more competitive, which increase the percentage of cloud adoption. But security remains the most cited challenge in Cloud. So, while we are

Software and Communications
Innovation, Entrepreneurship and Competitiveness

A new cloud computing governance framework

Nowadays, most service providers adopt Cloud Computing technology. Moving to Cloud creates new risks and challenges. The Cloud era is to outsource our services to Cloud Service Provider (CSP). However, we have to develop a strong governance framework to review the service level, to manage risk effectively and to certify that our critical information is secure. In this paper, we develop an

Artificial Intelligence

Cluster Head election in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) consist of a collection of cheap, easy to deploy Sensor nodes arranged together to fulfill a specific purpose (monitoring, tracking...etc.). A WSN network is composed of a Base Station (BS) and collection of sensors. There are a lot of approaches for the network construction. Amongst them is the hierarchical structure, where the network is divided into clusters and

Healthcare
Software and Communications
Research Tracks
  • Enhancing School Education and Student Learning Gamification
  • Virtual Labs
  • Humanoid Robots
  • Information Security
  • Cyber Security
  • Cloud Computing
  • Networking
  • Augmented Reality